class_docstr: Handler for `VarLenFeature` values.
  
  `VarLenFeature` values will be parsed as an array of values of the
  corresponding dtype. In case the value is missing an empty array
  will be returned.
class_docstr_tok: ["Handler","for","`","VarLenFeature","`","values",".","`","VarLenFeature","`","values","will","be","parsed","as","an","array","of","values","of","the","corresponding","dtype",".","In","case","the","value","is","missing","an","empty","array","will","be","returned","."]
code: def __init__(self, name, dtype, index, encoder=None):
      self._name = name
      self._np_dtype = dtype.as_numpy_dtype
      self._index = index
      self._encoder = encoder
  
file_path: transform/tensorflow_transform/coders/csv_coder.py
imports: import csv
  import io
  import numpy
  import tensorflow
  from tensorflow_transform.tf_metadata import schema_utils
label_desc: Use image node_id 1 to create a new _VarLenFeatureHandler object  with example: obj = _VarLenFeatureHandler(name, dtype, index, encoder)